Image compressive sensing reconstruction system employing group normalization sparse representation and method thereof

An image compression and sparse representation technology, applied in image communication, digital video signal modification, electrical components, etc., can solve the problems of difficult to obtain satisfactory reconstruction effect, loss of detail information, etc., to improve the restoration effect and improve the reconstruction quality. Effect

Inactive Publication Date: 2018-05-29
SOUTH CENTRAL UNIVERSITY FOR NATIONALITIES
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Problems solved by technology

[0004] However, most of the previous methods simply directly use the sparsity of the image signal after a certain transformation to constrain the reco

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  • Image compressive sensing reconstruction system employing group normalization sparse representation and method thereof
  • Image compressive sensing reconstruction system employing group normalization sparse representation and method thereof
  • Image compressive sensing reconstruction system employing group normalization sparse representation and method thereof

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Embodiment Construction

[0038] Below in conjunction with accompanying drawing and embodiment describe in detail:

[0039] 1. System

[0040] 1. Overall

[0041] Such as figure 1 , the system includes an initialization module 1, a route selection module 2, a regularized mean square error minimum module 3 and an image filtering processing module 4;

[0042] The initialization module 1 , the routing selection module 2 , the minimum regularized mean square error module 3 and the image filtering processing module 4 interact sequentially, and the image filtering processing module 4 interacts with the routing selection module 2 .

[0043] In detail: the routing selection module 2 has two input terminals and one output terminal, and the regularized mean square error minimum module 3 has two input terminals and one output terminal; one input terminal of the routing selection module 2 is connected to the initialization module 1 The output terminal interacts, the other input terminal of the routing selection...

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Abstract

The invention discloses an image compressive sensing reconstruction system employing group normalization sparse representation and a method thereof and relates to the technical field of image recovery. The system comprises an initialization module (1), a route selection module (2), a regular mean square error minimization module (3) and an image filtering processing module (4). The initializationmodule (1), the route selection module (2), the regular mean square error minimization module (3) and the image filtering processing module (4) interact with each other in sequence. The image filtering processing module (4) interacts with the route selection module (2). According to the system and the method, an image weak target and texture and edge recovery effects can be improved, the reconstruction quality of a compressive sensing image is effectively improved, and the system and method are applicable to compressive imaging application.

Description

technical field [0001] The present invention relates to the technical field of image restoration, in particular to an image compression sensing reconstruction system and method using group normalized sparse representation. Background technique [0002] As a new signal sampling theory proposed in recent years, Compressive Sensing (CS) sampling theory breaks through the constraints of traditional Nyquist sampling theory, and can realize accurate reconstruction of sparse signal dimensionality reduction sampling. Since the theory was put forward, it has been widely concerned and applied in the fields of signal sensing, image processing, wireless communication and so on. Image compression sensing has broad application prospects in remote sensing images, medical imaging and other fields, and the high-quality reconstruction of compressed sensing images is the key to its successful application. [0003] In order to achieve accurate reconstruction of compressed sensing signals and b...

Claims

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Application Information

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IPC IPC(8): H04N19/90H04N19/132H04N19/635H04N19/70H04N19/117H04N19/154H04N19/176
CPCH04N19/117H04N19/132H04N19/154H04N19/176H04N19/635H04N19/70H04N19/90
Inventor 熊承义高志荣龚忠毅张梦杰
Owner SOUTH CENTRAL UNIVERSITY FOR NATIONALITIES
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